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QC101 Quantum Computing and Introduction to Quantum Machine Learning

You're reading from QC101 Quantum Computing and Introduction to Quantum Machine Learning Explore math-based quantum computing, cryptography, quantum ML and code with Python, Q#, and Qiskit

Product type Video

Published in Nov 2019

Last Updated in May 2025

Publisher Packt

ISBN-13 9781838989934

Length 11hrs 52mins

Edition 1st Edition

Languages

Python

Tools

Visual Studio

Concepts

Machine Learning

Author (1):

Kumaresan Ramanathan

View More author details

Table of Contents (17) Chapters

1. Introduction FREE CHAPTER

2. Quantum Physics Through Photon Polarization

3. Math Foundation: Complex Numbers, Probability, Linear Algebra, and Logic

4. Quantum Cryptography

5. Developing a Math Model for Quantum Physics

6. Quantum Physics of Spin States

7. Modeling Quantum Spin States with Math

8. Reversible and Irreversible State Transformations

9. Multi-Qubit Systems

Analyzing Multi-Qubit Systems

10. Entanglement

Entanglement

11. Understanding Superposition and Entanglement with Quantum Simulators

12. Quantum Computing Model

13. Quantum Programming with Microsoft Q#

14. IBM Quantum Experience

IBM Quantum Experience

15. Quantum Programming and Algorithms with IBM Qiskit

16. Machine Learning Foundation

17. Quantum Machine Learning with Qiskit

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Authors (1)

Kumaresan Ramanathan

Kumaresan Ramanathan

Kumaresan Ramanathan is the Principal Architect at Coroman Systems. He is passionate about making technology easy to understand. He has taught students at the University of Massachusetts and guided software professionals at Cadence Design Systems, icons, Empirix, Relona, and Johnson & Johnson. His goal is to help you earn more than $200,000 annually as a software professional. He focuses on teaching AI and Quantum Computing because these are the highest-paid skills in the industry. His courses help beginners who have a basic understanding of high school math and coding. In addition to teaching technical skills, Kumaresan also helps you build leadership ability. His courses discuss trade-offs between various technical choices and help you take wise decisions. As an expert software professional, you will be able to recommend solutions, suggest implementation choices, and guide software design. He has an electrical engineering degree from IIT and a masters degree in computer science from the University of Massachusetts. He has managed software teams and helped startups launch products in international markets. He has lived most of his professional life in the Boston area. He enjoys reading science fiction and economic theory.

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